Detection of Region Duplication Forgery in Digital Images Using SURF
An Image would yield better impact in convincing someone of
something rather than pure description by words. Digital images
are widely used in various fields like medical imaging,
journalism, scientific manipulations and digital forensics.
However, images are not reliable as it may be. Digital images can
be easily tampered with image editing tools. One of the major
problems in image forensics is determining if a particular image
is authentic or not. Digital image forensic is an emerging field of
image processing area. Copy-move forgery is one type of image
forgery in digital image forensic where various methods have
been proposed in the field to detect the forgery. In this paper a
technique is presented to detect Copy-Move Forgery based on
SURF and KD-Tree for multidimensional data matching. We
demonstrate our method with high resolution images affected by
copy-move forgery.
Keywords: Image forensic, Copy-move forgery, SURF, KD-tree
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